Head of Product, Biotech Data & AI Platforms

Revalia Bio, Inc.; New Haven (CT); Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Equity

Bonus

Health benefits

Retirement plan

Wellness stipend

Job summary

Revalia Bio is seeking a Head of Product to own the vision and roadmap across the Human Data Trial lifecycle. You will work closely with the CEO, define requirements, shape design, and partner with engineering to ship while mentoring junior team members.

You will lead across perfusion software, data capture, and study design, collaborating with scientists and operators to deliver configurable offerings and insights.

Qualifications

• 8+ years in product management, with 3+ years leading end-to-end products.
• Significant life sciences experience and ability to work with scientists and clinicians.
• Track record shipping complex products spanning software, hardware and data with engineering.
• Strong requirements, workflow-mapping and design skills, with data-model/architecture literacy.

Responsibilities

• Set the product vision and roadmap across the lifecycle, from organ offer to partner insight.
• Translate customer, scientific and operational needs into clear requirements and acceptance criteria.
• Lead discovery and design with users (perfusionists, scientists, OPO coordinators) and collaborate with engineering to ship.
• Define data capture and quality controls for reports, data products and modeling.

Skills

Product management

Life sciences

Software/hardware/data

Requirements gathering

Mentoring

Stakeholder engagement

Education

Bachelor's degree in engineering or computer science

Advanced degree (PhD/MD/MS/MBA)

Tools

LIMS

ELN

GLP/21 CFR Part 11

Job description

Revalia Bio is seeking a Head of Product to own the vision and roadmap across the Human Data Trial lifecycle. You will work closely with the CEO, define requirements, shape design, and partner with engineering to ship while mentoring junior team members.

You will lead across perfusion software, data capture, and study design, collaborating with scientists and operators to deliver configurable offerings and insights.